The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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Ambient nitrogen dioxide pollution and spreadability of COVID-19 in Chinese cities
This article has 7 authors:Reviewed by ScreenIT
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Mobility restrictions were associated with reductions in COVID-19 incidence early in the pandemic: evidence from a real-time evaluation in 34 countries
This article has 31 authors:Reviewed by ScreenIT
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Case report: change of dominant strain during dual SARS-CoV-2 infection
This article has 11 authors:Reviewed by ScreenIT
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The potential effects of deploying SARS-Cov-2 vaccines on cold storage capacity and immunization workload in countries of the WHO African Region
This article has 11 authors:Reviewed by ScreenIT
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Mathematical model for the mitigation of the economic effects of the Covid-19 in the Democratic Republic of the Congo
This article has 1 author:Reviewed by ScreenIT
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A comparative analysis of SARS-CoV-2 antivirals in human airway models characterizes 3CL pro inhibitor PF-00835231 as a potential new treatment for COVID-19
This article has 17 authors:Reviewed by ScreenIT
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Practical Recommendations for Maintaining Active Lifestyle during the COVID-19 Pandemic: A Systematic Literature Review
This article has 7 authors:Reviewed by ScreenIT
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Diagnosis, clinical characteristics, and outcomes of COVID-19 patients from a large healthcare system in northern New Jersey
This article has 12 authors:Reviewed by ScreenIT
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Impact of Personal Care Habits on Post-Lockdown COVID-19 Contagion: Insights from Agent-based Simulations
This article has 2 authors:Reviewed by ScreenIT
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Characteristics and Risk Factors for Hospitalization and Mortality among Persons with COVID-19 in Atlanta Metropolitan Area
This article has 11 authors:Reviewed by ScreenIT